Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection

Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection

For an electronic nose (E-nose) in wound infection distinguishing, traditional learning methods have always needed large quantities of labeled wound infection samples, which are both limited and expensive; thus, we introduce self-taught learning combined with sparse autoencoder and radial basis func...

Full description

Bibliographic Details
Main Authors: Peilin He, Pengfei Jia, Siqi Qiao, Shukai Duan
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Sensors
Subjects:
electronic nose
self-taught learning
sparse autoencoder
wound infection
Online Access:https://www.mdpi.com/1424-8220/17/10/2279

Internet

https://www.mdpi.com/1424-8220/17/10/2279

Similar Items